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Skills
- Artificial Intelligence (AI)unmatched
- Communication Skillsunmatched
- Computer Scienceunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Warehousingunmatched
- Machine Learningunmatched
- Mathematicsunmatched
- Onboardingunmatched
- Performance Tuning/Optimizationunmatched
- Physicsunmatched
- Presentation/Verbal Skillsunmatched
- Programming Languagesunmatched
- Python Programming/Scripting Languageunmatched
- SQL (Structured Query Language)unmatched
- Scalable System Developmentunmatched
- Writing Skillsunmatched
Description
Title: Data Engineer
Location: Washington DC
Position Type: Full Time
Compensation
Pay Range:$150,000-$160,000 Per Year
Description
Join a dynamic team in a full-time role based in Washington DC.
As a Data Engineer, you will be responsible for developing and maintaining data pipelines to support machine learning initiatives.
The role requires expertise in programming languages and data platforms.
Key Responsibilities
Build and maintain scalable data solutions to meet firm objectives.
Implement and optimize high-performance data pipelines for scalability and reliability.
Lead projects involving AI technologies from concept to production.
Collaborate with stakeholders to develop production-ready services.
Mentor junior team members and promote continuous learning.
Qualifications
Bachelor's degree in Computer Science, Math, Physics, STEM, or related field preferred.
At least 6 years of experience in data engineering or a related discipline.
Strong foundation in data manipulation and analysis.
Experience in designing and implementing complex data systems.
Excellent communication skills, both verbal and written.
Core Technologies
Python | SQL | Data Warehousing | Data Transformation | Workflow Orchestration Tools | Machine Learning
Contact Information
Lexi Small,lexi.small@itmmi.com
Onboarding Expectations
Learn more about our Onboarding Process here https://youtu.be/rjV_NFYjyY4
EEO Statement
Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement
#LI-LS1
Location: Washington DC
Position Type: Full Time
Compensation
Pay Range:$150,000-$160,000 Per Year
Description
Join a dynamic team in a full-time role based in Washington DC.
As a Data Engineer, you will be responsible for developing and maintaining data pipelines to support machine learning initiatives.
The role requires expertise in programming languages and data platforms.
Key Responsibilities
Build and maintain scalable data solutions to meet firm objectives.
Implement and optimize high-performance data pipelines for scalability and reliability.
Lead projects involving AI technologies from concept to production.
Collaborate with stakeholders to develop production-ready services.
Mentor junior team members and promote continuous learning.
Qualifications
Bachelor's degree in Computer Science, Math, Physics, STEM, or related field preferred.
At least 6 years of experience in data engineering or a related discipline.
Strong foundation in data manipulation and analysis.
Experience in designing and implementing complex data systems.
Excellent communication skills, both verbal and written.
Core Technologies
Python | SQL | Data Warehousing | Data Transformation | Workflow Orchestration Tools | Machine Learning
Contact Information
Lexi Small,lexi.small@itmmi.com
Onboarding Expectations
Learn more about our Onboarding Process here https://youtu.be/rjV_NFYjyY4
EEO Statement
Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement
#LI-LS1
Numbers & Facts
| Location | Washington, DC |
| Industry | Staffing/Employment Agencies |
| Salary | $150,000–$160,000 Per Year |
| Company Size | 100 to 499 employees |
| Year Founded | 1984 |
| Website | https://www.mitchellmartin.com |
About Company
OUR FOCUS IS GROWTH
It’s not just about filling job openings. It’s about enabling growth and inspiring success. That’s what we do.
Mitchell Martin is one of the nation’s largest staffing companies, with offices throughout the US as well as in India and the Philippines. We help drive success for both people and companies by helping them achieve positive growth. We do this by building strong relationships and developing a deep understanding of the people we work with, in order to facilitate the best matches for both sides of the equation.